{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T12:08:18Z","timestamp":1769083698796,"version":"3.49.0"},"reference-count":33,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T00:00:00Z","timestamp":1548892800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001824","name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","doi-asserted-by":"publisher","award":["17-20480S"],"award-info":[{"award-number":["17-20480S"]}],"id":[{"id":"10.13039\/501100001824","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["LO1611"],"award-info":[{"award-number":["LO1611"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003243","name":"Ministerstvo Zdravotnictv\u00ed Cesk\u00e9 Republiky","doi-asserted-by":"publisher","award":["NV18-07-00272"],"award-info":[{"award-number":["NV18-07-00272"]}],"id":[{"id":"10.13039\/501100003243","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003335","name":"MEYS","doi-asserted-by":"publisher","award":["NPU I program"],"award-info":[{"award-number":["NPU I program"]}],"id":[{"id":"10.13039\/501100003335","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Charles University, Third Faculty of Medicine, Czech Republic","award":["PROGRES Q35"],"award-info":[{"award-number":["PROGRES Q35"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In biomedical signal processing, we often face the problem of artifacts that distort the original signals. This concerns also sleep recordings, such as EEG. Artifacts may severely affect or even make impossible visual inspection, as well as automatic processing. Many proposed methods concentrate on certain artifact types. Therefore, artifact-free data are often obtained after sequential application of different methods. Moreover, single-channel approaches must be applied to all channels alternately. The aim of this study is to develop a multichannel artifact detection method for multichannel sleep EEG capable of rejecting different artifact types at once. The inspiration for the study is gained from recent advances in the field of Riemannian geometry. The method we propose is tested on real datasets. The performance of the proposed method is measured by comparing detection results with the expert labeling as a reference and evaluated against a simpler method based on Riemannian geometry that has previously been proposed, as well as against the state-of-the-art method FASTER. The obtained results prove the effectiveness of the proposed method.<\/jats:p>","DOI":"10.3390\/s19030602","type":"journal-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T03:08:05Z","timestamp":1548990485000},"page":"602","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9838-7455","authenticated-orcid":false,"given":"Elizaveta","family":"Saifutdinova","sequence":"first","affiliation":[{"name":"Czech Technical University in Prague, Jugosl\u00e1vsk\u00fdch partyz\u00e1n\u016f 1580\/3, 160 00 Prague, Czech Republic"},{"name":"National Institute of Mental Health, Topolov\u00e1 748, 250 67 Klecany, Czech Republic"}]},{"given":"Marco","family":"Congedo","sequence":"additional","affiliation":[{"name":"GIPSA-lab, University Grenoble Alpes, CNRS, Grenoble-INP, 38000 Grenoble, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6500-7578","authenticated-orcid":false,"given":"Daniela","family":"Dudysova","sequence":"additional","affiliation":[{"name":"National Institute of Mental Health, Topolov\u00e1 748, 250 67 Klecany, Czech Republic"},{"name":"Charles University, Third Faculty of Medicine, Rusk\u00e1 2411\/87, 100 00 Prague, Czech Republic"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0742-5645","authenticated-orcid":false,"given":"Lenka","family":"Lhotska","sequence":"additional","affiliation":[{"name":"Czech Technical University in Prague, Jugosl\u00e1vsk\u00fdch partyz\u00e1n\u016f 1580\/3, 160 00 Prague, Czech Republic"}]},{"given":"Jana","family":"Koprivova","sequence":"additional","affiliation":[{"name":"National Institute of Mental Health, Topolov\u00e1 748, 250 67 Klecany, Czech Republic"},{"name":"Charles University, Third Faculty of Medicine, Rusk\u00e1 2411\/87, 100 00 Prague, Czech Republic"}]},{"given":"Vaclav","family":"Gerla","sequence":"additional","affiliation":[{"name":"Czech Technical University in Prague, Jugosl\u00e1vsk\u00fdch partyz\u00e1n\u016f 1580\/3, 160 00 Prague, Czech Republic"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9175","DOI":"10.1523\/JNEUROSCI.0855-18.2018","article-title":"Dreaming in NREM Sleep: A High-Density EEG Study of Slow Waves and Spindles","volume":"38","author":"Siclari","year":"2018","journal-title":"J. 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